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Journal of Pharmaceutical Innovation

, Volume 6, Issue 4, pp 249–263 | Cite as

Model-Based Control-Loop Performance of a Continuous Direct Compaction Process

  • Rohit Ramachandran
  • Jeyrathan Arjunan
  • Anwesha Chaudhury
  • Marianthi G. Ierapetritou
Research Article

Abstract

This study is concerned with enhanced model-based control of a continuous direct compression pharmaceutical process. The control-loop performance is assessed in silico and results obtained will be incorporated into the pilot plant facility of the continuous direct compaction process at the NSF Engineering Research Center of Rutgers University. The models used in the study are obtained via system identification from a combination of first principles-based dynamic models, experimental data, and/or literature data. The main objective of the paper is to formulate an effective control strategy at the basic/regulatory level, for the integrated continuous operation of the direct compaction process, and to maintain the process at the desired set-points, taking into account the multivariable process interactions and disturbances. Simulations show that that at very mild interactions, the proposed regulatory control strategy is able to maintain set-points at desired values. However, at moderate to high process interactions, oscillatory behavior of controlled variables is seen. The presence of disturbances also resulted in poor control-loop performance. Results also lend credence to the development of advanced control strategies in such scenarios and will be addressed in future work. Optimal control tuning parameters are obtained from a derivative-free optimization algorithm.

Keywords

Model-based control Continuous processing Direct compaction Control-loop performance Pharmaceutical manufacturing 

Notes

Acknowledgments

This work is supported by the National Science Foundation Engineering Research Center on Structured Organic Particulate Systems, through Grant NSF-ECC 0540855

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Rohit Ramachandran
    • 1
  • Jeyrathan Arjunan
    • 1
    • 2
  • Anwesha Chaudhury
    • 1
  • Marianthi G. Ierapetritou
    • 1
  1. 1.Department of Chemical and Biochemical Engineering, RutgersThe State University of New JerseyPiscatawayUSA
  2. 2.Aspen Technology Inc.HoustonUSA

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